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Ai Accelerator Jobs (NOW HIRING)

Oracle

AI Accelerator Program Manager

Nashville, TN · On-site

The AI Accelerator Program Manager helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines ...

Oracle

AI Accelerator Program Manager

Nashville, TN

The AI Accelerator Program Manager helps Business Operations teams adopt AI by turning manual, file-based, or prototype workflows into trusted, repeatable AI-assisted processes. This role combines ...

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How much do ai accelerator jobs pay per year?

As of Jun 29, 2026, the average yearly pay for ai accelerator in the United States is $52,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Accelerator, and why are they important?

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

What is the highest paid AI job?

The highest paid AI jobs typically include AI research directors, machine learning engineers, and AI solutions architects, with salaries often exceeding $150,000 annually. These roles require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, often combined with advanced degrees and leadership responsibilities.

Which 3 jobs will survive AI?

AI accelerators typically focus on roles that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, software developers, and skilled tradespeople. These jobs involve tasks that are difficult to automate fully and often require human judgment, adaptability, and interpersonal skills. Continuous learning and technical proficiency can enhance job security in these fields as AI advances.

How does an AI Accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What are AI Accelerators?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

What does an AI accelerator do?

An AI accelerator is a professional who develops and optimizes hardware or software solutions to improve the performance of artificial intelligence models. They often work with machine learning frameworks, programming languages like Python, and specialized hardware such as GPUs or TPUs to enhance AI processing speed and efficiency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other incentives that contribute to the total compensation.
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Ai Accelerator jobs near you
Infographic showing various Ai Accelerator job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $52,811 per year, or $25.4 per hour.
Principal Software Engineer, AI Accelerator

Principal Software Engineer, AI Accelerator

Ampere Computing LLC

Santa Clara, CA • On-site

$195K - $292K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted just now

Key responsibilities

  • Optimize deep learning computational graphs for performance, throughput, and latency on Ampere's accelerator hardware.

  • Enable popular models and frameworks and serving platforms on Ampere's AI hardware.

  • Identify and implement graph-level optimizations such as operator fusion, pattern recognition, and redundancy elimination.

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the role:
In this role, you will optimize computational graphs to unlock the full potential of Ampere's deep learning accelerator. You'll work across the full SW/HW stack - from inference serving and framework integration down to compiler, runtime, and compute kernels.
What you'll achieve:
  • Optimize deep learning computational graphs for performance, throughput, and latency on Ampere's accelerator hardware
  • Enable popular models and frameworks (PyTorch, Llama.cpp) and serving platforms (vLLM, SGLang)
  • Identify and implement graph-level optimizations: op fusion, pattern recognition, redundancy elimination
  • Collaborate on HW/SW co-design to push computational efficiency
  • Work with cross-functional teams to integrate AI solutions into Ampere's AI hardware platforms

About you:
  • Bachelors degree in Computer Science, Mathematics or a related technical field & 8 years of related experience; or Master's degree & 6 years
  • Strong CS fundamentals: algorithms, data structures, systems
  • Solid graph algorithm knowledge and reasoning ability
  • Proficiency in Python and C/C++
  • Demonstrated exceptional problem-solving ability - IOI medal, ACM ICPC medal, Codeforces Grandmaster, USACO Platinum, or equivalent competitive programming achievement is a big plus
  • Fast learner who can pick up new domains quickly and maximize agent-assisted development
  • Familiarity with deep learning concepts and neural network architectures is a plus

What we'll offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $195,000 and $292,000. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
  • Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
  • Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
  • A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
#LI-DR
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

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